34 min listen
Computational notebooks: the benefits and pitfalls
Computational notebooks: the benefits and pitfalls
ratings:
Length:
41 minutes
Released:
Jan 7, 2021
Format:
Podcast episode
Description
Computational notebooks — such as Jupyter and Databricks — have soared in popularity with data scientists thanks to the ease with which text, visualizations and code can be combined on a living document. But what works for the data scientist doesn’t always fit with developers’ needs. Productionizing notebooks is fraught with perils. Our podcast team explores how to use computational notebooks most effectively.
Released:
Jan 7, 2021
Format:
Podcast episode
Titles in the series (100)
Programming languages geek out: Programming languages are simultaneously a creative and an engineering medium. So how do you find the programming language that most facilitates you being creative, while enabling you to produce code that others can read? In this episode, two of our... by Thoughtworks Technology Podcast